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Data Science Experts in Stuttgart

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Hire experts who turn complex data into reliable forecasts, recommendation systems and decision support. Work with specialists in Python, SQL, machine learning, statistical modelling and cloud data platforms, matched quickly with vetted, available freelancers.

Meet FRATCH Experts in Stuttgart, who have recently used Data Science

Verified expert

Mustafa Ö.

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Data & Business Analyst

Stuttgart
Mustafa Ö.

Last position:

Data & Business Analyst at Self-Employed / Freelancer

  • External consultant for various projects in the automotive industry.

  • Data-driven business and performance analysis

  • Analysis, interpretation and validation of complex business data

  • Identification of trends, risks and potential areas for improvement

  • Translation of analytical findings into actionable business recommendations

  • Preparation and presentation of results for business stakeholders

Verified expert

Friederike B.

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Independent Consultant and Trainer

Stuttgart
Friederike B.

Last position:

Independent Consultant and Trainer at Friederike Bohm Consulting

  • Consulting on lean, logistics, AI applications and process optimization
  • Customized concepts for digitalization, change & transformation
  • Adaptive training and workshops for professionals and managers
Verified expert

Chaima D.

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Data Scientist Intern

Stuttgart
Chaima D.

Last position:

Data Scientist Intern at Marelli Automotive Lighting

  • Developed and deployed a deep learning model for automated keypoint detection in headlamp light distributions.
  • Prepared and processed datasets, and selected VGG16 after benchmarking CNN architectures for the best accuracy efficiency trade-off.
  • Delivered a Flask REST API, containerized with Docker, and integrated the solution into an existing internal system, enabling automated and efficient evaluation of headlamp designs.
Verified expert

Dean R.

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CEO / Chief Scientist

Stuttgart
Dean R.

Last position:

CEO / Chief Scientist at ENUM

  • Blockchain platform technology
  • Blockchain digital platform / Digital Economy.
Verified expert

Akshata N.

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Data Science Intern

Stuttgart
Akshata N.

Last position:

Data Science Intern at Unified Mentor

  • Improved predictive model accuracy by 18% using advanced feature engineering.
  • Automated data pipelines via Python ETL, reducing manual work by 25%.
  • Documented data flows to identify automation potential and support digitalization projects.
Verified expert

Divij W.

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Data Scientist

Esslingen am Neckar
Divij W.

Last position:

Data Scientist at Daimler R&D, Daimler AG

  • Mercedes Me is an app that connects your phone to several features in the car
  • Implemented analytical KPIs for the Digital Drivers Log (Fahrtenbuch) feature
  • Used PySpark on Databricks
Verified expert

Christoph D.

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Agentic RAG AI System

Stuttgart
Christoph D.

Last position:

Agentic RAG AI System at Financial Services Provider

  • Developed an agentic RAG system to support the development organization.
  • Technologies: Python, LangGraph, Qdrant, Claude Code, GitHub.
Verified expert

Augusto M.

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Managing Director/Co-Founder

Ludwigsburg
Augusto M.

Last position:

Managing Director/Co-Founder at Merx GmbH

  • Responsible for data analytics and marketing/sales.
  • This is a part-time job (1-2 days a week).

Discover over 15,000 top freelancers

Statistics of experts using Data Science

Aggregated from the professional profiles of matched freelancers.

Experience

16 years (Germany: 14 years)

Data Science experts in Stuttgart have 16 years of professional experience on average. It is 2 years more than in Germany, where the average stands at 14 years.

Position duration

2.8 years (Germany: 2.2 years)

Data Science experts in Stuttgart stay in a single position for 2.8 years on average. It is 0.6 years more than in Germany, where the average stands at 2.2 years.

Positions per freelancer

8 (Germany: 9)

Data Science experts in Stuttgart have completed 8 positions on average over the course of their careers. It is 1 fewer than in Germany, where the average stands at 9.

Top business areas

Business Intelligence, Information Technology, Product Development

Data Science experts in Stuttgart have gathered most of their hands-on project experience in Business Intelligence, Information Technology, and Product Development.

Top industries

Automotive, Information Technology, Professional Services

Data Science experts in Stuttgart are most in demand in Automotive, Information Technology, and Professional Services.

Certification focus areas

Business Intelligence, Information Technology, Product Development

Data Science experts in Stuttgart earn their certifications most often in Business Intelligence, Information Technology, and Product Development.

Bachelor's degree or higher

100% (Germany: 97%)

100% of Data Science experts in Stuttgart hold at least a Bachelor's degree. It is 3% higher than in Germany, where the rate stands at 97%.

Master's degree or higher

88% (Germany: 80%)

88% of Data Science experts in Stuttgart hold at least a Master's degree. It is 8% higher than in Germany, where the rate stands at 80%.

Doctorate

13% (Germany: 22%)

13% of Data Science experts in Stuttgart have a doctorate (PhD). It is 9% lower than in Germany, where the rate stands at 22%.

Certifications per freelancer

2 (Germany: 3)

Data Science experts in Stuttgart hold 2 professional certifications on average. It is 1 fewer than in Germany, where the average stands at 3.

Most common languages

German, English, French

Data Science experts in Stuttgart most often speak German, English, and French.

Speak two or more languages

100% (Germany: 97%)

100% of Data Science experts in Stuttgart speak two or more languages. It is 3% higher than in Germany, where the rate stands at 97%.

Based on our profile pool as of 19 Sep 2026.

Daily rate distribution

0 1 2 3 4
One of the Data Science experts in Stuttgart charges less than €480 per day.
One of the Data Science experts in Stuttgart charges between €480 and €640 per day.
2 of the Data Science experts in Stuttgart charge between €800 and €960 per day.
2 of the Data Science experts in Stuttgart charge €960 or more per day.
<€480 €480-​640 €800-​960 €960+

The chart shows how the daily rates of freelancers in this technology in Stuttgart are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.

Average rates of experts in Stuttgart using Data Science

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 802 €
Germany avg. 766 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 800 €
Germany median 800 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Calculated based on our freelancers’ daily rates as of 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

Data Science experts industry focus

See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.

  • Automotive (78%)
  • Information Technology (67%)
  • Professional Services (56%)
  • Education (44%)
  • Banking and Finance (44%)
  • Transportation (44%)
  • Manufacturing (44%)
  • Healthcare (33%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

What Data Science delivers

Data Science combines statistics, programming, domain knowledge and machine learning to extract useful signals from structured and unstructured data. Companies use it to forecast demand, detect anomalies, personalise services, optimise operations and support better business decisions. Strong work connects analytical results to measurable product or process outcomes.

Typical project work

Data Science specialists contribute across the full path from raw data to operational use:

  • Define business questions, target variables and success criteria
  • Clean, join and validate data from business and digital systems
  • Explore patterns with statistical analysis and visualisation
  • Train, test and explain predictive or classification models
  • Deliver dashboards, scoring services or decision-ready reports

Ecosystem and tooling

Python is common for analysis and modelling, with pandas, NumPy, scikit-learn, SciPy and notebook environments forming a practical core. Specialists may also use PyTorch or TensorFlow for deep learning, SQL and dbt for data transformation, and tools such as MLflow for experiment tracking. Cloud services, Docker, APIs and orchestration connect models with production systems.

When companies need specialists

Freelance expertise helps when internal teams have valuable data but lack the capacity to turn it into a dependable solution. It is useful for a first feasibility study, a model rebuild, a migration to a modern data stack or the handover of a prototype into production. In Stuttgart, projects may span automotive, manufacturing, mobility, finance, healthcare and research, with remote or on-site collaboration depending on data access and team routines.

What strong professionals bring

Good Data Science professionals clarify assumptions before selecting an algorithm. They understand sampling bias, leakage, uncertainty, drift and data quality, and they explain trade-offs to both technical and business stakeholders. Beyond model accuracy, they consider maintainability, reproducibility, privacy, monitoring and how people will act on the result.

Evaluating the engagement

A useful brief names the decision the analysis should improve, the available data sources and the constraints around security, latency and interpretability. During review, ask for evidence of comparable analytical work, clear validation methods and a plan for deployment or handover. The best engagement leaves behind documented pipelines, readable code, tested outputs and guidance that the internal team can maintain.

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Frequently asked questions

Key details about Data Science, drawn from the questions we get asked most.

Companies use Data Science to find patterns in data and turn them into forecasts, recommendations, risk signals and operational decisions. Typical work includes demand forecasting, customer segmentation, fraud detection, quality analysis and predictive maintenance.

Data Science often focuses on prediction, experimentation and automated decisions, while business intelligence usually explains what has already happened through reports and dashboards. Data analytics can cover both areas, so the boundaries depend on the project and the skills required.

A capable Data Science specialist should understand SQL, data modelling, statistics, software development and data visualisation. Experience with cloud infrastructure, APIs, Docker, experiment tracking and model monitoring is valuable when analysis must run reliably in a product or business process.

The right level for Data Science depends on the risk, data quality and delivery stage rather than on a fixed tenure requirement. A small exploratory analysis may need a focused specialist, while a production model benefits from experience with deployment, validation, monitoring and stakeholder adoption.

Much Data Science work can be completed remotely when secure access to datasets, documentation and computing environments is available. On-site sessions in Stuttgart can help with sensitive data, workshops and close collaboration with product, manufacturing or research teams.

Before starting Data Science work, define access controls, data ownership, retention rules and the permitted use of personal or confidential information. A clear environment for development and a documented approval process reduce security risks without blocking useful analysis.

Quality Data Science work has a clear problem definition, a defensible baseline and validation that reflects real usage. Look for transparent assumptions, reproducible data preparation, meaningful error analysis and documentation explaining when the model should or should not be trusted.

A Data Science engagement may deliver cleaned datasets, analysis notebooks, feature pipelines, trained models, evaluation reports, dashboards or an integrated scoring service. The handover should also cover setup instructions, limitations, monitoring needs and recommendations for future improvement.

The average hourly rate of freelancers in Stuttgart, Germany who have used Data Science in their recent projects is 100 €, which corresponds to a daily rate of about 802 € based on an 8-hour working day.

Of the freelancers in Stuttgart, Germany who have used Data Science in their recent projects, 100% hold at least a Bachelor's degree, 88% hold at least a Master's degree, and 13% hold a doctorate.

On average, freelancers in Stuttgart, Germany who have used Data Science in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.8 years.

The most common languages among freelancers in Stuttgart, Germany who have used Data Science in their recent projects are German (100%), English (100%), and French (22%).

The most common industries among freelancers in Stuttgart, Germany who have used Data Science in their recent projects are Automotive (78%), Information Technology (67%), and Professional Services (56%).

The most common business areas among freelancers in Stuttgart, Germany who have used Data Science in their recent projects are Business Intelligence (89%), Information Technology (78%), and Product Development (78%).

Main locations of FRATCH Experts, who have recently used Data Science

Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.

Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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Philipp Thomaschewski

FRATCH CEO

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